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Record W7098766016

Ministry of Environment, Lands and Parks and Ministry of Forests The formatting and images in this document may vary slightly from the printed version. Suspended Sediment and Fish Habitat Sedimentation in Central Interior Watersheds of British Columbia

2015· article· en· W7098766016 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsSTREAMSSedimentSnowmeltHydrology (agriculture)SedimentationWatershedChristian ministryHabitat
DOInot available

Abstract

fetched live from OpenAlex

Many watersheds in the central interior of British Columbia are designated for rehabilitation under the Watershed Restoration Program, which includes measures to control surface erosion. A study of suspended sediment and fish habitat sedimentation in several watersheds of the central interior, precursory to restoration activity, is described in this report. Suspended sediment concentrations measured during the spring snowmelt period indicated that sediment delivery to the nine streams surveyed was highly variable. Concentration profiles in some streams were indicative of chronic sources of sediment, but profiles in other streams were indicative of episodic sources of sediment. Severity-of-ill-effect values determined from the suspended sediment data were sufficiently high to indicate lethal and paralethal effects on the resident and migratory fish populations present in streams during the study period. Particularly severe impacts were predicted for eggs and developing larvae. High flow conditions in the spring of 1997 created considerable interference with the calibration and evaluation of sediment traps as

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.377
Threshold uncertainty score0.759

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.2120.047

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.203
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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